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Crowdsourcing based subjective quality assessment of adaptive video streaming
RISE, Swedish ICT, Acreo.ORCID iD: 0000-0001-5060-9402
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2014 (English)In: 2014 6th International Workshop on Quality of Multimedia Experience, QoMEX 2014, 2014, p. 53-54Conference paper, Published paper (Refereed)
Abstract [en]

In order to cater for user's quality of experience (QoE) requirements, HTTP adaptive streaming (HAS) based solutions of video services have become popular recently. User QoE feedback can be instrumental in improving the capabilities of such services. Perceptual quality experiments that involve humans are considered to be the most valid method of the assessment of QoE. Besides lab-based subjective experiments, crowdsourcing based subjective assessment of video quality is gaining popularity as an alternative method. This paper presents insights into a study that investigates perceptual preferences of various adaptive video streaming scenarios through crowdsourcing based subjective quality assessment.

Place, publisher, year, edition, pages
2014. p. 53-54
Keywords [en]
Adaptive streaming, Buffering, Crowdsourcing, Subjective, Video quality assessment, Multimedia systems, Video streaming, Quality of service
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-35515DOI: 10.1109/QoMEX.2014.6982289Scopus ID: 2-s2.0-84920743764ISBN: 9781479965366 (print)OAI: oai:DiVA.org:ri-35515DiVA, id: diva2:1263101
Conference
2014 6th International Workshop on Quality of Multimedia Experience, QoMEX 2014, 18 September 2014 through 20 September 2014
Available from: 2018-11-14 Created: 2018-11-14 Last updated: 2018-11-14Bibliographically approved

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Brunnstrom, Kjell

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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